Tsung‐Wei Huang

2.6k citations
119 papers · 1.9k indexed · h-index 24
Topics
Parallel Computing and Optimization Techniques (53 papers)Embedded Systems Design Techniques (26 papers)Low-power high-performance VLSI design (22 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Tsung‐Wei Huang

113 papers receiving 1.9k citations

Peers

Tsung‐Wei Huang
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 1.0k
  • Hardware and Architecture 780
  • Computer Networks and Communications 490
  • Biomedical Engineering 393
  • Mechanical Engineering 333
Replace Pierluigi Nuzzo with:
Pierluigi Nuzzo United States
P. P. Chakrabarti India
Alireza Ejlali Iran
Christian Haubelt Germany
Franco Fummi Italy
Wanli Chang China
Hiroto Yasuura Japan
William Fornaciari Italy
Soonhoi Ha South Korea
Saad Mubeen Sweden
Tsung‐Wei Huang relative to Pierluigi Nuzzo United States Pierluigi Nuzzo's profile →
Citations per field
00.5×11.6×
Pierluigi Nuzzo · 1×
Citations per year

Countries citing papers authored by Tsung‐Wei Huang

Since Specialization
Citations

This map shows the geographic impact of Tsung‐Wei Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tsung‐Wei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung‐Wei Huang more than expected).

Fields of papers citing papers by Tsung‐Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung‐Wei Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tsung‐Wei Huang. The network helps show where Tsung‐Wei Huang may publish in the future.

Co-authorship network of co-authors of Tsung‐Wei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Wei Huang. A scholar is included among the top collaborators of Tsung‐Wei Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsung‐Wei Huang. Tsung‐Wei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 3
4 0
5 6
6 2
7 8
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9 11
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11 12
12 3
13 15
14 3
15
Cpp-Taskflow: A General-purpose Parallel and Heterogeneous Task Programming System at Scale
1
16 4
17 90
18 38
19 14
20
A contamination aware droplet routing algorithm for digital microfluidic biochips
20

About Tsung‐Wei Huang

Tsung‐Wei Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 119 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (53 papers), Embedded Systems Design Techniques (26 papers) and Low-power high-performance VLSI design (22 papers). The work is most often cited by research in Hardware and Architecture (780 citations), Software (83 citations) and Computer Networks and Communications (490 citations). Tsung‐Wei Huang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Martin D. F. Wong, Tsung-Yi Ho, Chun-Xun Lin, Yibo Lin, Dian-Lun Lin, Guannan Guo, Zizheng Guo, Krishnendu Chakrabarty, Brucek Khailany and Haoxing Ren. Their work appears in journals such as IEEE Access, Journal of Medical Internet Research and Future Generation Computer Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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